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Related papers: Random Simplicial Complexes

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Simplicial complexes constitute the underlying topology of interacting complex systems including among the others brain and social interaction networks. They are generalized network structures that allow to go beyond the framework of…

Disordered Systems and Neural Networks · Physics 2020-06-02 Joaquín J. Torres , Ginestra Bianconi

Given a chain complex with the only modification that each cell of the complex has a probability distribution assigned. We will call this complex - a random complex and what should be understood in practice, is that we have a classical…

Algebraic Topology · Mathematics 2016-11-25 Todor Todorov

In this paper we discuss two general models of random simplicial complexes which we call the lower and the upper models. We show that these models are dual to each other with respect to combinatorial Alexander duality. The behaviour of the…

Algebraic Topology · Mathematics 2022-01-05 Michael Farber , Lewis Mead , Tahl Nowik

Many practical applications in topological data analysis arise from data in the form of point clouds, which then yield simplicial complexes. The combinatorial structure of simplicial complexes captures the topological relationships between…

Algebraic Topology · Mathematics 2025-02-07 Nkechi Nnadi , Daniel Isaksen

A general method for constructing simplicial complex from observed time series of dynamical systems based on the delay coordinate reconstruction procedure is presented. The obtained simplicial complex preserves all pertinent topological…

Chaotic Dynamics · Physics 2016-06-22 Slobodan Maletic , Yi Zhao , Milan Rajkovic

We introduce a notion of discrete topological complexity in the setting of simplicial complexes, using only the combinatorial structure of the complex by means of the concept of contiguous simplicial maps. We study the links of this new…

Algebraic Topology · Mathematics 2017-06-12 D. Fernández-Ternero , E. Macías-Virgós , E. Minuz , J. A. Vilches

In this paper we inititate the study of abstract simplicial complexes which are initial segments of qualitative probability orders. This is a natural class that contains the threshold complexes and is contained in the shifted complexes, but…

Combinatorics · Mathematics 2011-08-19 Paul H. Edelman , Tatyana Gvozdeva , Arkadii Slinko

Simplicial complexes describe collaboration networks, protein interaction networks and brain networks and in general network structures in which the interactions can include more than two nodes. In real applications, often simplicial…

Physics and Society · Physics 2017-06-21 Owen T. Courtney , Ginestra Bianconi

We consider the multiparameter random simplicial complex on a vertex set $\{ 1,\dots,n \}$, which is parameterized by multiple connectivity probabilities. Our key results concern the topology of this complex of dimensions higher than the…

Probability · Mathematics 2023-09-14 Takashi Owada , Gennady Samorodnitsky

We introduce a new `geometric realization' of an (abstract) simplicial complex, inspired by probability theory. This space (and its completion) is a metric space, which has the right (weak) homotopy type, and which can be compared with the…

Algebraic Topology · Mathematics 2020-09-29 Ivan Marin

There have been several recent articles studying homology of various types of random simplicial complexes. Several theorems have concerned thresholds for vanishing of homology, and in some cases expectations of the Betti numbers. However…

Probability · Mathematics 2011-01-19 Matthew Kahle , Elizabeth Meckes

We consider a generalised model of a random simplicial complex, which arises from a random hypergraph. Our model is generated by taking the downward-closure of a non-uniform binomial random hypergraph, in which for each $k$, each set of…

Combinatorics · Mathematics 2020-11-06 Oliver Cooley , Nicola Del Giudice , Mihyun Kang , Philipp Sprüssel

In the past two decades, extensive research has been conducted on the (co)homology of various models of random simplicial complexes. So far, it has always been examined merely as a list of groups. This paper expands upon this by describing…

Algebraic Topology · Mathematics 2024-08-21 Jon V. Kogan

We provide a random simplicial complex by applying standard constructions to a Poisson point process in Euclidean space. It is gigantic in the sense that - up to homotopy equivalence - it almost surely contains infinitely many copies of…

Combinatorics · Mathematics 2017-12-05 Jens Grygierek , Martina Juhnke-Kubitzke , Matthias Reitzner , Tim Römer , Oliver Röndigs

We define a new stochastic process on general simplicial complexes which allows to study their spectral and homological properties. Some results for random walks on graphs are shown to hold in this general setting. As an application, the…

Probability · Mathematics 2014-12-18 Ron Rosenthal

We provide dual algorithms for sampling the space of abstract simplicial complexes on a fixed number of vertices. We develop a generative and descriptive sampler designed with heuristics to help balance the combinatorial multiplicities of…

Computation · Statistics 2018-07-03 John Lombard

In this paper we define spherical complexes as simplicial complexes with the property that every subcomplex obtained by a sequence of links and deletions either has trivial homology, or has the homology of a sphere. Examples of such…

Commutative Algebra · Mathematics 2025-01-20 Sara Faridi , Thiago Holleben

We study $d$-dimensional simplicial complexes that are PL embeddable in $\mathbb{R}^{d+1}$. It is shown that such a complex must satisfy a certain homological condition. The existence of this obstruction allows us to provide a systematic…

Geometric Topology · Mathematics 2017-03-06 Anders Björner , Afshin Goodarzi

Random matrix ensembles are introduced that respect the local tensor structure of Hamiltonians describing a chain of $n$ distinguishable spin-half particles with nearest-neighbour interactions. We prove a central limit theorem for the…

Mathematical Physics · Physics 2017-06-19 J. P. Keating , N. Linden , H. J. Wells

In this paper we provide a general framework for estimating symmetric properties of distributions from i.i.d. samples. For a broad class of symmetric properties we identify the easy region where empirical estimation works and the difficult…

Data Structures and Algorithms · Computer Science 2020-03-03 Moses Charikar , Kirankumar Shiragur , Aaron Sidford